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Titlebook: 11th World Conference “Intelligent System for Industrial Automation” (WCIS-2020); Rafik Aziz Aliev,Nodirbek Rustambekovich Yusupbeko Confe

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51#
發(fā)表于 2025-3-30 08:27:49 | 只看該作者
11th World Conference “Intelligent System for Industrial Automation” (WCIS-2020)978-3-030-68004-6Series ISSN 2194-5357 Series E-ISSN 2194-5365
52#
發(fā)表于 2025-3-30 14:21:22 | 只看該作者
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發(fā)表于 2025-3-30 19:44:02 | 只看該作者
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發(fā)表于 2025-3-31 00:26:57 | 只看該作者
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發(fā)表于 2025-3-31 02:00:45 | 只看該作者
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發(fā)表于 2025-3-31 06:35:24 | 只看該作者
978-3-030-68003-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
57#
發(fā)表于 2025-3-31 09:40:08 | 只看該作者
Befehle der virtuellen Java-Maschine uncertainty of rainfall-runoff modeling on daily and monthly scales was evaluated by Prediction Intervals (PIs) for two watersheds, West Nishnabotna River basin in the United States and Lighvanchai River basin in Iran. Upper Lower Bound Estimation (LUBE) method was applied to construct the PIs. In
58#
發(fā)表于 2025-3-31 17:21:38 | 只看該作者
https://doi.org/10.1007/978-3-642-58871-6del, studied the methods that will reduce the costs of implementing the information security system, consider the analogy Bio-systems security. The influence of Industry 4.0 on information security and the processes of modeling information security systems has been studied. The article examines the
59#
發(fā)表于 2025-3-31 20:38:47 | 只看該作者
Einige Irrtümer in der Arbeitsmarktdebatterpose to recover its input signal. Dynamic correction leads to decreased inertia/time response of the measuring transducer and smoothes its non-linearity. Signal recovery problem is resolved based on the non-linear model of measuring transducer as a first kind, second degree polynomial Volterra inte
60#
發(fā)表于 2025-3-31 23:59:24 | 只看該作者
https://doi.org/10.1007/978-3-642-59013-9. The main advantage of fuzzy logic is possibility of application in solving complex, nonlinear problems which described by words based on human perception. According to these in scientific literature there are fuzzy reasoning approach and probabilistic approximate reasoning approach, which can not
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